Regression Analysis based on Fuzzy Interaval Data

Abstract

When the data is observed by human, there are cases that the data is not always exact or it is difficult to observe the data exactly. In these cases, if we are able to observe the data including vagueness of observers, then its observation becomes easy. Then, in this paper, on the assumption that the observations include human vagueness, we treat the fuzzy interval data including unclear border of intervals. And, we give the processing method of the regression analysis by least square method using fuzzy interval data. But, it is difficult to treat the fuzzy interval data exactly. So, in this paper, we execute the regression analysis apploximately using the representative value of fuzzy interval data which is treated easily. And, the usefulness of our method is illustrated using computer simulation.